臺灣博碩士論文加值系統

空氣污染日漸嚴重,全球每年約有 650 萬人死於空氣污染,躍升為全
球第四大死因。空氣污染同時也造就經濟上的損失,據估計高達 5 億美元。
為了減緩空氣污染所帶來的傷害,各國陸續在工業上或是交通上,制定排
放政策。如德國、荷蘭等將於 2030 年禁止燃油汽車上路。台灣也宣布於
2035 年全面禁售燃油機車。面對環境及政策的雙重因素下,本研究探討公
共電動機車系統的建立,擴大 ubike 的可行範圍,以降低民眾使用傳統燃
油機車的意願。故站在傳統機車使用者的角度,以 PPM 理論探討其轉換
至公共電動機車的意願。結果顯示傳統機車使用者的轉換意願不僅會受到
電動機車之環保屬性及電池續航力等實體因素所影響,也會受到身邊親朋
好友的推薦及產品象徵性所影響。

Air pollution is becoming increasingly serious. About 6.5 million people in
the world die of air pollution each year, making it the fourth largest cause of
death in the world. Air pollution also creates economic losses, which are
estimated to be as high as 500 million U.S. dollars. In order to mitigate the harm
caused by air pollution, countries have successively formulated emission
policies in industry or transportation. For example, Germany and Netherlands
will ban fuel vehicles on the road in 2030. Taiwan also announced that it will
completely ban the sale of fuel vehicles in 2035. Under the dual factors of
environment and policy, this study explored the establishment of a public scooter
system and expanded the using range of ubike to reduce the people's willingness
to use traditional fuel-powered scooter. Therefore, from the perspective of the
traditional scooter users, discuss its willingness to switch public scooter with the
PPM theory. The results show that the traditional scooter users' willingness to
switch will not only be affected by physical factors such as the environmental
attributes of the scooter and the battery life, but also be affected by the
recommendation of their relatives and friends and the symbolism of the product.

目錄
1. 緒論 ................................ ................................ ................................ ............. 1
1.1 研究背景與動機 研究背景與動機 ................................ ................................ .............. 1
1.2 研究目的 ................................ ................................ .......................... 3
1.3 研究架構 ................................ ................................ .......................... 3
2. 產業概況與文獻回顧 產業概況與文獻回顧 產業概況與文獻回顧 ................................ ................................ ................. 5
2.1 產業概況 ................................ ................................ .......................... 5
2.2 PPM(Push PPM(Push -Pull -Mooring) Mooring) 及轉換行為 及轉換行為 ................................ ............ 8
2.3 推力因素 ................................ ................................ .......................... 9
2.4 拉力因素 ................................ ................................ ........................ 10
2.5 繫留因素 ................................ ................................ ........................ 13
3. 研究方法 ................................ ................................ ................................ ... 15
3.1 研究架構 ................................ ................................ ........................ 15
3.2 研究假說 ................................ ................................ ........................ 18
3.3 問卷設計 ................................ ................................ ........................ 19
3.4 研究樣本及資料收集 研究樣本及資料收集 研究樣本及資料收集 ................................ ................................ .... 24
3.5 資料分析方法 資料分析方法 ................................ ................................ ................ 24
4. 資料分析 ................................ ................................ ................................ ... 26
4.1 敘述性統計 敘述性統計 ................................ ................................ .................... 26
4.2 信度檢驗 ................................ ................................ ........................ 27
4.3 效度檢驗 ................................ ................................ ........................ 30
4.4 結構模型分析 結構模型分析 ................................ ................................ ................ 32
5. 結論與建議 結論與建議 ................................ ................................ ............................... 38
5.1 結論 ................................ ................................ ................................ 38
5.2 學術貢獻及政策意涵 學術貢獻及政策意涵 學術貢獻及政策意涵 ................................ ................................ .... 39
5.3 研究限制與未來方向 研究限制與未來方向 研究限制與未來方向 研究限制與未來方向 ................................ ............................ 39
參考文獻 ................................ ............................ 41

Arndt, J. (1967). Role of product-related conversations in the diffusion of a new product. Journal of marketing research, 291-295.
Axsen, J., & Kurani, K. S. (2011). Interpersonal influence in the early plug-in hybrid market: Observing social interactions with an exploratory multi-method approach. Transportation Research Part D: Transport and Environment, 16(2), 150-159.
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the academy of marketing science, 16(1), 74-94.
Bansal, H. S., Irving, P. G., & Taylor, S. F. (2004). A three-component model of customer to service providers. Journal of the Academy of marketing Science, 32(3), 234-250.
Bansal, H. S., Taylor, S. F., & St. James, Y. (2005). “Migrating” to new service providers: Toward a unifying framework of consumers’ switching behaviors. Journal of the Academy of Marketing Science, 33(1), 96-115.
Belk, R. W. (1981). Determinants of consumption cue utilization in impression formation: An association derivation and experimental verification. ACR North American Advances.
Belk, R. W. (1988). Possessions and the extended self. Journal of Consumer research, 15(2), 139-168.
Bogue, D. J. (1969). Principles of demography. Retrieved from
Brown, B. B., Werner, C. M., & Kim, N. (2003). Personal and contextual factors supporting the switch to transit use: Evaluating a natural transit intervention. Analyses of Social Issues and Public Policy, 3(1), 139-160.
Brown, J. J., & Reingen, P. H. (1987). Social ties and word-of-mouth referral behavior. Journal of Consumer research, 14(3), 350-362.
Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. Sage focus editions, 154, 136-136.
Carley, S., Krause, R. M., Lane, B. W., & Graham, J. D. (2013). Intent to purchase a plug-in electric vehicle: A survey of early impressions in large US cites. Transportation Research Part D: Transport and Environment, 18, 39-45.
DeVellis, R. F. (2016). Scale development: Theory and applications (Vol. 26): Sage publications.
Dittmar, H. (1992). The social psychology of material possessions: To have is to be: Harvester Wheatsheaf and St. Martin's Press.
Fang, X. G.-h. X. (2010). Impact Factors of Purchase Decision of New Energy Automobile [J]. China Population, Resources and Environment, 11, 018.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 39-50.
Fu, J.-R. (2011). Understanding career commitment of IT professionals: Perspectives of push–pull–mooring framework and investment model. International Journal of Information Management, 31(3), 279-293.
Fujii, S., & Gärling, T. (2005). Temporary structural change: A strategy to break car-use habit and promote public transport. Paper presented at the International Conference of Traffic and Transport Psychology.
Gallagher, K. S., & Muehlegger, E. (2011). Giving green to get green? Incentives and consumer adoption of hybrid vehicle technology. Journal of Environmental Economics and management, 61(1), 1-15.
Hair, J. F. (2010). Black, WC, Babin, BJ, & Anderson, RE (2010). Multivariate data analysis, 7.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (1998). Multivariate data analysis (Vol. 5): Prentice hall Upper Saddle River, NJ.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152.
Hine, J., & Scott, J. (2000). Seamless, accessible travel: users’ views of the public transport journey and interchange. Transport policy, 7(3), 217-226.
Igbaria, M., & Nachman, S. A. (1990). Correlates of user satisfaction with end user computing: an exploratory study. Information & Management, 19(2), 73-82.
Jackson, J. A. (1986). Migration–Aspects of modern sociology. Social processes. London: Longman.
Jones, L. R., Cherry, C. R., Vu, T. A., & Nguyen, Q. N. (2013). The effect of incentives and technology on the adoption of electric motorcycles: A stated choice experiment in Vietnam. Transportation Research Part A: Policy and Practice, 57, 1-11.
Jung, J., Han, H., & Oh, M. (2017). Travelers' switching behavior in the airline industry from the perspective of the push-pull-mooring framework. Tourism Management, 59, 139-153.
Kahn, M. E. (2007). Do greens drive Hummers or hybrids? Environmental ideology as a determinant of consumer choice. Journal of Environmental Economics and Management, 54(2), 129-145.
Keaveney, S. M. (1995). Customer switching behavior in service industries: An exploratory study. The Journal of Marketing, 71-82.
Krupa, J. S., Rizzo, D. M., Eppstein, M. J., Lanute, D. B., Gaalema, D. E., Lakkaraju, K., & Warrender, C. E. (2014). Analysis of a consumer survey on plug-in hybrid electric vehicles. Transportation Research Part A: Policy and Practice, 64, 14-31.
L. Sun , Z. B., D. Zhao. (2009). Customer Behavior.
Lee, E. S. (1966). A theory of migration. Demography, 3(1), 47-57.
Lieven, T., Mühlmeier, S., Henkel, S., & Waller, J. F. (2011). Who will buy electric cars? An empirical study in Germany. Transportation Research Part D: Transport and Environment, 16(3), 236-243.
Lin, J.-S. C., & Hsieh, P.-l. (2006). The role of technology readiness in customers' perception and adoption of self-service technologies. International Journal of Service Industry Management, 17(5), 497-517.
Lin, T.-C., & Huang, S.-L. (2014). Understanding the determinants of consumers' switching intentions in a standards war. International Journal of Electronic Commerce, 19(1), 163-189.
Liu, S. (2012). The impact of forced use on customer adoption of self-service technologies. Computers in Human Behavior, 28(4), 1194-1201.
LLP, D. C. (2010). Gaining Traction: A Customer View of Electric Vehicle Mass Adoption in the U.S. Automotive Market. . Retrieved from http://www.deloitte.com.br/publicacoes/2007/MFG.Gaining_Traction_customer_view_of_electric_vehicle_mass_adoption.pdf
Lois, D., & López-Sáez, M. (2009). The relationship between instrumental, symbolic and affective factors as predictors of car use: A structural equation modeling approach. Transportation Research Part A: Policy and Practice, 43(9-10), 790-799.
Longino Jr, C. F. (1992). The forest and the trees: micro-level considerations in the study of geographic mobility in old age. In elderly migration and population redistribution, 23-34.
Lui, S. M. (2005). Impacts of information technology commoditization: Selected studies from ubiquitous information services.
Moon, B. (1995). Paradigms in migration research: exploring'moorings' as a schema. Progress in Human Geography, 19(4), 504-524.
Ozaki, R., & Sevastyanova, K. (2011). Going hybrid: An analysis of consumer purchase motivations. Energy Policy, 39(5), 2217-2227.
Peng, X., Zhao, Y. C., & Zhu, Q. (2016). Investigating user switching intention for mobile instant messaging application: Taking WeChat as an example. Computers in Human Behavior, 64, 206-216.
Redman, L., Friman, M., Gärling, T., & Hartig, T. (2013). Quality attributes of public transport that attract car users: A research review. Transport Policy, 25, 119-127.
Roehrich, G. (2004). Consumer innovativeness: Concepts and measurements. Journal of business research, 57(6), 671-677.
Schmalfuß, F., Mühl, K., & Krems, J. F. (2017). Direct experience with battery electric vehicles (BEVs) matters when evaluating vehicle attributes, attitude and purchase intention. Transportation research part F: traffic psychology and behaviour, 46, 47-69.
Schuitema, G., Anable, J., Skippon, S., & Kinnear, N. (2013). The role of instrumental, hedonic and symbolic attributes in the intention to adopt electric vehicles. Transportation Research Part A: Policy and Practice, 48, 39-49.
Sussman, A. B., & Olivola, C. Y. (2011). Axe the tax: Taxes are disliked more than equivalent costs. Journal of marketing research, 48(SPL), S91-S101.
Voss, K. E., Spangenberg, E. R., & Grohmann, B. (2003). Measuring the hedonic and utilitarian dimensions of consumer attitude. Journal of marketing research, 40(3), 310-320.
Zengyan, C., Yinping, Y., & Lim, J. (2009). Cyber migration: An empirical investigation on factors that affect users' switch intentions in social networking sites. Paper presented at the System Sciences, 2009. HICSS'09. 42nd Hawaii International Conference on.
Zhang, K. Z., Cheung, C. M., Lee, M. K., & Chen, H. (2008). Understanding the blog service switching in Hong Kong: an empirical investigation. Paper presented at the Hawaii International Conference on System Sciences, Proceedings of the 41st Annual.
Zhang, Y., Yu, Y., & Zou, B. (2011). Analyzing public awareness and acceptance of alternative fuel vehicles in China: The case of EV. Energy Policy, 39(11), 7015-7024.
Ziegler, A. (2012). Individual characteristics and stated preferences for alternative energy sources and propulsion technologies in vehicles: A discrete choice analysis for Germany. Transportation Research Part A: Policy and Practice, 46(8), 1372-1385.
吳明隆. (2006). 結構方程模式: SIMPLIS 的應用: 五南圖書出版股份有限公司.
邱皓政. (2003). 結構方程模式: LISREL 的理論, 技術與應用, 台北: 雙葉書廊有限公司.
侯冠州. (2016/11/25). 東南亞市場推波助瀾　電動機車需求加速升溫. Retrieved from http://www.mem.com.tw/arti.php?sn=1611250002
皇甫澤恩. (2014). 從參考團體與信任觀點探討消費者使用行動銀行意願之研究: 國立東華大學管理學院高階經營管理碩士在職專班碩士論文.
郭柏成. (2010). 台灣電動機車的消費者購買行為之研究. (碩士), 國立成功大學, 台南市.
劉豐國. (2010). 以腦波評估噪音對人的反應之影響. (碩士), 嘉南藥理科技大學, 台南市.